2 months ago
Base Salary
$200k - $260k/yr
Responsibilities
- Build predictive models on large-scale clinical data for risk stratification, utilization prediction, and care-gap detection.
- Own the full ML lifecycle, including problem framing, feature engineering, training, evaluation, deployment, and production monitoring.
- Convert unstructured clinical data such as PDFs, images, and doctors’ notes into structured records.
- Build training and inference pipelines, experiment tracking, model versioning, and evaluation infrastructure.
- Collaborate with founders, engineers, and customers to identify and prioritize high-leverage ML problems.
- Operate production ML systems and monitor for drift, degradation, reliability, and measurable outcomes.
Requirements
- 7+ years of experience building ML systems that run against real data at scale.
- Strong knowledge of regression, tree-based methods, feature engineering, dimensionality reduction, and deep learning, with hands-on model-building and training experience.
- Demonstrated record of delivering measurable ML results in production.
- Strong software engineering fundamentals and experience building or operating large-scale cloud backend systems, ideally on AWS.
- Ability to own training pipelines, model serving, monitoring, SQL, large datasets, and data pipelines end to end.
- Located in San Francisco or the Bay Area, or willing to relocate.
- Preferred experience with healthcare standards and technologies including FHIR, HIE, IHE, EHR/EMR, NPI, TEFCA, ADT, HL7, HEDIS, RAF, SNOMED, LOINC, and ICD-10.
- Founder experience or experience as the first or only ML hire at an early-stage startup is preferred.
Benefits
- Competitive equity and compensation package.
- Full family Platinum health, dental, and vision insurance.
- 401(k) retirement plan with matching.
- Flexible work-from-home or in-office arrangement.
- Complimentary healthy lunches when working in-office, with breakfast and dinners as needed.
- Quarterly company off-sites.
- Company-provided MacBook.
- Unlimited PTO.
- Leaders are in the office six days per week and the team is generally expected to be available six days per week.
Tech Stack
Categories
About Metriport
Metriport builds an open-source platform and APIs that aggregate and standardize U.S. patient medical data for healthcare providers and health-tech platforms. It connects to national and regional HIEs, QHINs, EHRs, labs, and pharmacies to deliver longitudinal records and alerts via a single API or embedded apps. Founded in 2022 and headquartered in San Francisco, it is privately held and used by organizations such as Amazon One Medical, Strive Health, Color, Sollis Health, and Canvas Medical.